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[Remote] AI Engineer - Forward Deployed

Work from home Full-time role Hiring

Note: The job is a remote job and is open to candidates in USA. Edison Scientific builds and commercializes AI agents for science. As a Forward Deployed AI Engineer, you'll be embedded with leading scientific R&D organizations across pharma and biotech, taking full ownership of how Edison's AI agents create value in their environment.

Responsibilities

  • Translate complex scientific and operational requirements into a clear delivery roadmap, from initial discovery through scaled production deployment
  • Be embedded with R&D teams, understand their research workflows deeply, and drive & own the value creation that Edison delivers to our partners
  • Map the customer's scientific and operational landscape to identify where AI agents can have the most impact – not just where they ask for help, but where the real leverage is
  • Design, implement, and iterate on production-ready integrations in fast cycles, often owning features end-to-end from architecture to rollout
  • Troubleshoot and debug issues in real time, ensure reliability and adoption, and be the go-to technical contact for AI within the client organization
  • Capture pain points, unmet needs, and product gaps and work with our internal Applied AI and engineering teams to shape future capabilities
  • Partner with GTM and account executives to scope engagements, define success metrics, and support pre-sales technical evaluation

Skills

  • 2+ years of professional software engineering experience, with a track record of shipping production-grade software in fast-paced or ambiguous environments
  • Strong proficiency in Python and/or TypeScript/JavaScript with deep fundamentals
  • Hands-on experience building and deploying LLM-powered or agentic AI systems in production environments, including prompt engineering, RAG pipelines, model evaluation, and orchestration frameworks
  • AI fluency: able to reason through systems architecture, debug at the infrastructure level, and write clean production code independently (without reliance on AI-assisted coding tools)
  • Comfortable with 20-40% travel (at peak times), operating independently, making decisions with incomplete information, and driving outcomes without close oversight
  • Proven problem-solving skills, navigating complex systems, debugging issues in real-time, and owning features end-to-end
  • Strong communication and relationship-building skills – able to earn trust with scientists, executives, and engineering teams
  • Deep curiosity and willingness to learn new scientific domains quickly and adapt to rapidly evolving priorities
  • Degree in Computer Science, Software Engineering, Mathematics, Physics, or a related technical field; or equivalent demonstrated depth through professional experience
  • Experience in life sciences, pharma, biotech, or scientific R&D – either as a researcher, consultant, or engineer working in these environments
  • Familiarity with regulated data environments (GxP, HIPAA, 21 CFR Part 11, or equivalent compliance frameworks)
  • Background as a technical founder, forward-deployed engineer, or management consultant
  • A science degree or research experience alongside your engineering skills

Benefits

  • Full healthcare coverage — we pay 100% of premiums for you and your dependents
  • Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
  • 401(k) company matching
  • $300 health and wellness benefit
  • Lunch is on us every day you're in the office, and dinner is on us when you're working late
  • Regular team offsites and company events

Company Overview

  • Edison Scientific accelerates scientific discovery using an AI research platform for autonomous R&D. It was founded in 2025, and is headquartered in San Francisco, California, USA, with a workforce of 51-200 employees. Its website is https://edisonscientific.com/.
  • Company H1B Sponsorship

  • Edison Scientific has a track record of offering H1B sponsorships, with 1 in 2026, 1 in 2025. Please note that this does not guarantee sponsorship for this specific role.
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